WBG Pioneer - Data Analysis Intern

The World Bank Group is an international organization focused on global development, and they are seeking a Data Analysis Intern as part of their WBG Pioneer Internship Program. The intern will gain hands-on experience by preparing and analyzing data, enhancing data quality through AI integration, and developing data visualizations to communicate insights.

What you'll do:

• Clean, validate, and reconcile large, multi-source datasets, identifying and correcting errors in data values, structures, and formulas
• Develop and apply systematic processes to standardize, map, and reconcile data across teams, systems, and file formats, while using automated checks to flag inconsistencies for review
• Prepare API-ready data outputs, including JSON files, for data feeds, website visualizations, and other digital applications
• Develop and implement data-cleaning protocols, validation rules, and automated quality checks. Conduct data audits and produce monitoring and quality-assurance reports to identify issues and track their resolution
• Analyze data to identify trends, patterns, and actionable insights, and prepare analytical, progress, and monitoring reports using tools such as Excel or Python
• Present findings clearly to technical and non-technical audiences through reports, presentations, and other communication products
• Pilot AI-powered workflow to enhance data quality, integrity, and operational efficiency
• Conduct AI-driven analysis to support data validation and insights generation
• Establish monitoring and evaluation mechanisms to track AI model performance and ensure continuous improvement
• Ensure transparency and documentation of AI workflows, including prompt engineering, versioning, and reproducibility
• Suggest ways to automate verification of survey responses with primary data sources, check survey responses against each other and follow up with respondents until a final, verified country profile is produced
• Identify and mitigate risks related to bias, accuracy, and reliability of AI-generated outputs

What they're looking for:

• A master's candidate in data analytics, data science, statistics, computer science, machine learning, artificial intelligence, information technology, or an equivalent field
• Strong proficiency in a programming language such as Python, with experience managing, cleaning, and analyzing large datasets
• Familiarity with JavaScript and SQL is a plus
• Advanced Microsoft Excel skills, including formulas and data management
• Demonstrated ability to analyze data, translate findings into actionable insights, and communicate results to technical and non-technical audiences
• Strong attention to detail, initiative, and the ability to work independently while managing multiple priorities
• Excellent interpersonal, teamwork, and English communication skills, with the ability to work effectively in a multicultural environment
• Experience using AI-assisted workflow to conduct legal research is a strong plus
• Experience integrating AI solutions to improve system automation is preferred